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| Titel |
Effect of high-resolution spatial soil moisture variability on simulated runoff response using a distributed hydrologic model |
| VerfasserIn |
J. Minet, E. Laloy, S. Lambot, M. Vanclooster |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 15, no. 4 ; Nr. 15, no. 4 (2011-04-29), S.1323-1338 |
| Datensatznummer |
250012755
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| Publikation (Nr.) |
 copernicus.org/hess-15-1323-2011.pdf |
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| Zusammenfassung |
| The importance of spatial variability of antecedent soil moisture
conditions on runoff response is widely acknowledged in hillslope
hydrology. Using a distributed hydrologic model, this paper aims at
investigating the effects of soil moisture spatial variability on
runoff in various field conditions and at finding the structure of
the soil moisture pattern that approaches the measured soil moisture
pattern in terms of field scale runoff. High spatial resolution soil
moisture was surveyed in ten different field campaigns using a
proximal ground penetrating radar (GPR) mounted on a mobile
platform. Based on these soil moisture measurements, seven scenarios
of spatial structures of antecedent soil moisture were used and
linked with a field scale distributed hydrological model to simulate
field scale runoff. Accounting for spatial variability of soil
moisture resulted in general in higher predicted field scale runoff
as compared to the case where soil moisture was kept constant. The
ranges of possible hydrographs were delineated by extreme scenarios
where soil moisture was directly and inversely modelled according to
the topographic wetness index (TWI). These behaviours could be
explained by the sizes and locations of runoff contributing areas,
knowing that runoff was generated by infiltration excess over a
certain soil moisture threshold. The most efficient scenario for
modelling the within field spatial structure of soil moisture
appeared to be when soil moisture is directly arranged according to
the TWI, especially when measured soil moisture and TWI were
correlated. The novelty of this work is to benefit from a large set
of high-resolution soil moisture measurements allowing to model
effectively the within field distribution of soil moisture and its
impact on the field scale hydrograph. These observations contributed
to the current knowledge of the impact of antecedent soil moisture
spatial variability on field scale runoff. |
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